ML Tech Lead (GenAI, AWS)

<p><span style="font-size: 16px;">Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.</span></p> <p> </p> <p><span style="font-size: 16px;">We are seeking a highly skilled GenAI Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.</span></p> <p></p><p><br></p><b>Responsibilities:</b><ul> <li>Technical Leadership (40%)</li> </ul> <div>- Set technical direction and standards for ML projects</div> <div>- Make architectural decisions for ML systems</div> <div>- Review and approve technical designs</div> <div>- Identify and address technical debt</div> <div>- Champion best practices in ML engineering</div> <div>- Troubleshoot complex technical challenges</div> <div>- Evaluate and introduce new technologies and tools</div> <div> </div> <ul> <li>Mentorship & Team Development (35%)</li> </ul> <div>- Mentor junior and mid-level ML engineers (2-5 engineers)</div> <div>- Conduct technical code reviews</div> <div>- Provide guidance on technical problem-solving</div> <div>- Help engineers debug complex issues</div> <div>- Create learning opportunities and growth paths</div> <div>- Share knowledge through workshops and documentation</div> <div>- Build technical competency across the team</div> <div> </div> <ul> <li>Hands-On Technical Work (25%)</li> </ul> <div>- Contribute code to critical or complex components</div> <div>- Build proof-of-concepts for new approaches</div> <div>- Tackle highest-risk technical challenges</div> <div>- Develop reusable ML accelerators and frameworks</div> <div>- Maintain technical credibility through active coding</div><p><br></p><b>Requirements:</b><ul> <li>ML Engineering Excellence</li> </ul> <div>- Deep ML Expertise: Advanced knowledge across multiple ML domains</div> <div>- Production ML: Extensive experience building production-grade ML systems</div> <div>- Architecture: Ability to design scalable, maintainable ML architectures</div> <div>- MLOps: Strong understanding of ML infrastructure and operations</div> <div>- LLM Systems: Experience with modern LLM-based applications and RAG</div> <div>- Code Quality: Exemplary coding standards and best practices</div> <ul> <li>Technical Breadth</li> </ul> <div>- Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn</div> <div>- Cloud Platforms: Advanced AWS experience, familiarity with others</div> <div>- Data Engineering: Understanding of data pipelines and infrastructure</div> <div>- System Design: Ability to design complex distributed systems</div> <div>- Performance Optimization: Experience optimizing ML models and infrastructure</div> <ul> <li>Software Engineering</li> </ul> <div>- Clean Code: Writes exemplary, maintainable code</div> <div>- Testing: Champions testing practices (unit, integration, ML-specific)</div> <div>- Git & Collaboration: Advanced Git workflows and collaboration patterns</div> <div>- CI/CD: Experience building and maintaining ML pipelines</div> <div>- Documentation: Creates clear, comprehensive technical documentation</div><p><br></p><b>What We Offer:</b><ul> <li>Long-term B2B collaboration;</li> <li>Fully remote setup;</li> <li>A budget for your medical insurance;</li> <li>Paid sick leave, vacation, public holidays;</li> <li>Continuous learning support, including unlimited AWS certification sponsorship.</li> </ul><p><br></p><b>Interview stages:</b><ul> <li>Recruitment Interview;</li> <li>Tech interview;</li> <li>HR Interview;</li> <li>HM Interview.</li> </ul><p><br></p><p></p>